Head of Digital Analytics

Location
San Francisco, California
Posted
11 Jul 2020
Closes
10 Oct 2020
Ref
4789877002
Level
Manager
The Head of Digital Analytics will manage our digital data and provide a strategic voice to support our digital spend and product investments. You will be a critical partner to our marketing and product teams and establish standardized frameworks and models to optimize spend and acquisition efforts. You are also responsible for casting a long-term vision for what digital analytics should look like at the RealReal; inclusive of team structure, processes and 3rd party partnerships.

What You Get To Do Every Day
  • Establish a single source of truth for site analytics and campaign attribution, and drive alignment across company leadership.
  • Build the in-house framework and foundation for digital media measurement, multi-attribution modeling and marketing mix modelling. Partner with our 3rd party vendors and communicate resource needs to bridge that expertise in house.
  • Own the vision for what digital analytics should look like at the RealReal
  • Establish scalable processes to improve tracking setup, collection and accessibility of event data
  • Manage and improve our Web Analytics instrumentation plan and execute it end-to-end, leveraging a thorough understanding of Javascript and server and client-side integration.
  • Utilize technical knowledge to lead data audits and debug to ensure website data issues and discrepancies are resolved in a timely manner.
  • Develop insights and leading KPIs to optimize our acquisition efforts across a variety of marketing tactics including digital & offline (TV, OTT, radio and direct mail)
  • Increase visibility and knowledge around traffic patterns and site behavior to guide business decisions and investment.
  • Be the Strategy & Analytics leader for our Segment, Amplitude and Google Analytics integrations; forging strong cross-departmental alignment and setting vision for a strategic tool suite.

What You Bring To The Role
  • Advanced level of SQL
  • Proficient in Python or other scripting language a plus
  • Experience building and managing marketing attribution models
  • 5+ years' experience in a mar-tech and/or ad-tech analytics or insight leadership role
  • Familiarity with online measurement ecosystem, performance metrics, tag management and event tracking (Google Tag Manager, Adobe DTM, Tealium, Segment)
  • Experience with data visualization tools (Looker, Tableau, Amplitude, Google Analytics)
  • Extremely detail oriented and organized
  • Experience with writing JavaScript and using browser development tools, Working knowledge of web languages like HTML, CSS
  • Self-starter, fast learner, and strong collaborator: there is no job too big or too small if it contributes to the mission and makes our business better

The RealReal is the world's largest online marketplace for authenticated, consigned luxury goods. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have 150+ in-house gemologists, horologists and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by hundreds of brands, from Gucci to Cartier, supporting the circular economy. We make consigning effortless with free in-home pickup, drop-off service and direct shipping for individual consignors and estates. At our stores in LA, NYC and San Francisco, customers can shop, consign, and meet with our experts. At our 10 Luxury Consignment Offices, four of which are in our retail stores, our expert staff provides free valuations. Founded in 2011 and listed publicly in 2019 (Nasdaq: REAL), we're growing fast and fundamentally changing the way people buy and sell luxury - a multi-billion dollar industry. Build your career with us and enjoy 401K matching, health, dental and vision insurance, commuter flex spending, healthcare flex spending, generous PTO, a mother's room, and flexible work hours!

The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records, consistent with legal requirements. 

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